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Description
The IFMIF-DONES accelerator will accelerate deuterons up to 40 MeV in order to generate fusion-like neutron fluxes for materials studies. Deuterons will be lost along the beamline, in scrapers and collimators, in the beam dump, and in d-Li reactions at the target. These deuterons and the neutrons produced in reactions may activate materials, particularly in components close to the beamline. These highly activated components, include the high-energy beam transport line (HEBT) scraper, high-flux test module (HFTM) and target assembly (TA). After irradiation in the DONES accelerator, these components will be removed, transported and stored, leading to accumulated dose in different areas of the building. Understanding of these doses is important for the purposes of safety and protection of equipment.
At UKAEA, the Novel 1-Step (N1S) code [1] has been developed for single-step shutdown dose rate (SDDR) calculations in MCNP. In this work, N1S has been modified to account for movement of cells after irradiation. This allows the calculation of accumulated dose around a transport path, accounting for the detailed geometry of the problem as well as parameters of the movement such as movement path and speeds. The N1S method is verified by cross-comparison of the results for DONES HEBT scraper removal scenario against previous calculations using the D1SUNED code [2]. The HFTM and TA scenarios present further detailed applications of the code.
[1] T. Eade et al., Fusion Eng. Des. 181, 113213 (2022)
[2] A. Lopez Revelles et al., EUROfusion IDM: EFDA_D_2RRC3L (2024)
This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 — EUROfusion). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them.
This work has been funded by the EPSRC Fusion Grant 2022/27 [grant number EP/W006839/1]. To obtain further information on the data and models underlying this paper please contact PublicationsManager@ukaea.uk. For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising.
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